Brumand-Poor, F.; Barlog, F.; Plückhahn, N.; Thebelt, M.; Bauer, N.; Schmitz, K.
Physics-Informed Neural Networks for the Reynolds Equation with Transient Cavitation Modeling. Lubricants 2024, 12, 365.
https://doi.org/10.3390/lubricants12110365
AMA Style
Brumand-Poor F, Barlog F, Plückhahn N, Thebelt M, Bauer N, Schmitz K.
Physics-Informed Neural Networks for the Reynolds Equation with Transient Cavitation Modeling. Lubricants. 2024; 12(11):365.
https://doi.org/10.3390/lubricants12110365
Chicago/Turabian Style
Brumand-Poor, Faras, Florian Barlog, Nils Plückhahn, Matteo Thebelt, Niklas Bauer, and Katharina Schmitz.
2024. "Physics-Informed Neural Networks for the Reynolds Equation with Transient Cavitation Modeling" Lubricants 12, no. 11: 365.
https://doi.org/10.3390/lubricants12110365
APA Style
Brumand-Poor, F., Barlog, F., Plückhahn, N., Thebelt, M., Bauer, N., & Schmitz, K.
(2024). Physics-Informed Neural Networks for the Reynolds Equation with Transient Cavitation Modeling. Lubricants, 12(11), 365.
https://doi.org/10.3390/lubricants12110365